Quality improvement pilot program selection based on dynamic hybrid MCDM approach
Abstract
Purpose
Driven by motivation of quality enhancement and brand reputation promotion, automotive industries try to improve product quality and customer satisfaction by performing quality pilot programs continuously. The purpose of this paper is to develop a dynamic model to select the improvement quality pilot program from competitive candidates based on dynamic customers’ feedback.
Design/methodology/approach
An extended dynamic multi-criteria decision-making method is developed by embedding dynamic triangular fuzzy weighting average operators into fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, and the novel evaluation indicator “ζ” is introduced to reflect prioritization performance.
Findings
The two evaluation indicators (Q and “ζ” ) assist quality managers to identify the best program with respect to multiple conflicting criteria and the best choice based on these two indexes shows high conformity. Besides, ranking sequences obtained by “ζ” can avoid the dilemma that there are several candidates with top priority calculated by comprehensive group utility value Q.
Practical implications
The dynamic MCDM method has been applied into the quality improvement procedure in Chinese domestic auto factories and contributes to highly efficient promotion.
Originality/value
Few dynamic models on pilot program selection for quality improvement based on dynamic customers’ feedback, this study deals with the dynamic promotion by an extended fuzzy VIKOR method and presents a case application.
Keywords
Acknowledgements
The authors appreciate the anonymous referees and the editor for their valuable comments. The paper is supported by the following projects: the Research Fund for Doctoral Program of Higher Education of China (RFDP, 20130191110045), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2015BAH46F01 and 2015BAF05B03) and the National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX04004-005). Besides, the authors wish to thank the Automotive Collaborative Innovation Center (ACIC) in Chongqing University (CQU) and CA automotive Co. Ltd for their assistance and support.
Citation
Zhou, F., Wang, X. and Samvedi, A. (2018), "Quality improvement pilot program selection based on dynamic hybrid MCDM approach", Industrial Management & Data Systems, Vol. 118 No. 1, pp. 144-163. https://doi.org/10.1108/IMDS-11-2016-0498
Publisher
:Emerald Publishing Limited
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